Dell Products Inc.

Dell & Products L.p.

Rekha Ms

Vaideeswaran Ganesan

Praveen S Lalgoudar

Harish Babu

Rushyendra Velamuri

Sandeep Venkatesh Pai

Rashmi Shashidhar

Chandrasekhar R

Joji John

Nikhil S

Rohit Talukdar

Pandiyan Varadharajan

Bathulwar Akash

Pradyot Mishra

Nidhi Kant Arora

Facilitating auto enable replication for detected storage context in advanced communication networks is described. An example method includes determining, by a system comprising at least one processor, that data stored in a source system is to be replicated to a target system. The method also includes, based on historical data related to a storage context, determining, by the system, a replication policy for a replication of the data to the target system. The replication policy can include at least one rule utilized to replicate the data to a remote system. Further, the method includes, based on an acceptance of the replication policy, facilitating, by the system, the replication of the data to the target system according to the replication policy. In an example, the storage context can include a combination of information indicative of one or more parameters used to define the replication policy.

Facilitating automatic enabled replication for detected storage context in advanced communication networks

Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.

System and method for warranty customization based on customer need and part failure rate

Technology described herein can be employed to automatically recommend a tiering policy for data storage of data at a data storage system, such as a cloud storage system. An example method can comprise determining, by a system comprising a processor, context information defining a data storage attribute applicable to data at a cloud storage system. The method can comprise, in response to determining the context information, generating, by the system, a tiering policy defining an element of tiering storage of data at the cloud storage system, wherein the tiering policy is based on the data storage attribute defined by the context information. The method also can comprise, in response to generating the tiering policy, outputting, by the system, the tiering policy to a storage device associated with a customer. The analysis can be performed using an artificial intelligence process, machine learning process or a combination thereof.

Storage context aware tiering policy advisor

Growing community of inventors

Karnataka, India

Rekha Ms